Alice H. D. Chan

893 citations
28 papers · 604 indexed · h-index 13

Alice H. D. Chan

25 papers receiving 588 citations

Peers

Alice H. D. Chan
Comparison fields: 5 of 59
  • Experimental and Cognitive Psychology 320
  • Cognitive Neuroscience 403
  • Developmental and Educational Psychology 142
  • Music 32
  • Social Psychology 117
Replace Gregory Hickok with:
Gregory Hickok United States
Markus Christiner Austria
Corine Astésano France
Kyle Jasmin United Kingdom
Aliette Lochy Belgium
Stefanie Hutka United States
Caroline A. Niziolek United States
Annemarie Seither‐Preisler Germany
Yun Nan China
Antti Iivonen Finland
Alice H. D. Chan relative to Gregory Hickok United States Gregory Hickok's profile →
Citations per field
00.5×3.6×
Gregory Hickok · 1×
Citations per year

Countries citing papers authored by Alice H. D. Chan

Since Specialization
Citations

This map shows the geographic impact of Alice H. D. Chan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Alice H. D. Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alice H. D. Chan more than expected).

Fields of papers citing papers by Alice H. D. Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alice H. D. Chan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Alice H. D. Chan. The network helps show where Alice H. D. Chan may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Alice H. D. Chan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Alice H. D. Chan Line = papers co-authored together Alice H. D. Chan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20231
3 20233
4 20221
5 20223
6 20217
7 20191
8 201818
9 201727
10 201717
11 201610
12 20142
13 201282
14 20123
15 201140
16 201149
17 200840
18 200818
19 200898
20 200447

About Alice H. D. Chan

Alice H. D. Chan is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Music, having authored 28 papers that have together received 604 indexed citations. Recurring topics across this work include Multisensory perception and integration (11 papers), Neuroscience and Music Perception (10 papers), Reading and Literacy Development (8 papers), Neurobiology of Language and Bilingualism (8 papers), Hearing Loss and Rehabilitation (5 papers), Face Recognition and Perception (4 papers), Diverse Music Education Insights (3 papers) and Cognitive and developmental aspects of mathematical skills (3 papers). The work is most often cited by research in Experimental and Cognitive Psychology (320 citations), Cognitive Neuroscience (403 citations) and Developmental and Educational Psychology (142 citations). Alice H. D. Chan has collaborated with scholars based in Singapore, United States and Hong Kong. Frequent co-authors include Li Hai Tan, Patrick C. M. Wong, Kang Kwong Luke, Paul Kay, Virginia Yip, Wai Ting Siok, Isabelle Peretz, Valter Ciocca, Lawrance Yip and Pek‐Lan Khong. Their work appears in journals such as The Journal of the Acoustical Society of America, Proceedings of the National Academy of Sciences, PLoS ONE, Neuropsychologia and Journal of Speech Language and Hearing Research.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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